Model-Based Analysis of Secure and Patient-Dependent Pacemaker Monitoring System

Leonidas Tsiopoulos, Alar Kuusik, Jüri Vain, Hayretdin Bahsi

Research output: Chapter in Book/Conference proceedingConference contributionScientificpeer-review

Abstract

Pacemakers’ safety, security and reliability are of utmost importance for patient’s life quality in various daily situations. An integral characteristic of the pacemaker that depends on all of these attributes is its lifetime. In current medical practice the pacemaker’s expected lifetime is estimated relying on manufacturer’s data sheet and expert knowledge that may result in quite rough approximations if patient’s specifics are not taken into account. In this paper we perform a model-based quantitative analysis of pacemaker lifetime that takes into account patient specific factors, including general health condition, acting environment, remote reporting and others. We demonstrate that including these factors in analysis can provide drastically different results compared to that of average approximating estimates.
Original languageEnglish
Title of host publicationBody Area Networks
Subtitle of host publicationSmart IoT and Big Data for Intelligent Health
PublisherSpringer
Pages77-91
ISBN (Print)978-3-030-64990-6
DOIs
Publication statusPublished - 2020
MoE publication typeA4 Article in a conference publication
Event15th EAI International Conference, BODYNETS 2020 -
Duration: 21 Oct 2020 → …

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series

Conference

Conference15th EAI International Conference, BODYNETS 2020
Period21/10/20 → …

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